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基于多源异构数据的市政管理知识库构建

Constructing Municipal Management Knowledgebase Based on Heterogeneous Data

  • 摘要: 为了满足市政管理领域对数据权威性和体系完备性的高要求,实现市政管理领域知识库的自动化构建,笔者提出了一种基于多源异构数据的市政管理知识库构建模型.采用自顶向下的构建模式,完成对结构化关系型数据、半结构化文本数据和互联网数据在内的多源异构数据自动化知识抽取,最后设计了一个轻量级示例系统,并对该方法的执行效果进行了评估.实验结果表明,本方法在市政管理领域的知识库构建上优势明显,能够实现对多种市政管理资源的自动化知识抽取,所生成的概念体系完整清晰,知识描述恰当准确.

     

    Abstract: In our report, to meet the requirement of legitimacy and completeness in the field of municipal management and realize the automation of municipal management knowledgebase constructing, a top down municipal management knowledgebase model based on heterogeneous data was constructed. The model can extract structured data, semi-structured data and unstructured data, and a light weight knowledgebase system for evaluation and presentation purpose was designed. The results showed that the model of domain-knowledgebase construction in the field of municipal management has obvious advantages, which can realize automatic knowledge extraction from a variety of municipal administration resources, and generate a complete concept system and exact knowledge information.

     

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